CN110210334B - Pig spot check method and device, pig spot check system and computer storage medium - Google Patents
Pig spot check method and device, pig spot check system and computer storage medium Download PDFInfo
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Abstract
The application provides a pig spot check method, a pig spot check device, a pig spot check system and a nonvolatile computer readable storage medium for a slaughterhouse. The pig spot inspection method comprises the following steps: obtaining prestored pig face depth images of all pigs related to the tracing codes; acquiring a verified pig face depth image of a current pig; judging whether the verified pig face depth image is matched with a prestored pig face depth image or not; and sending prompt information when the verified pig face depth image is not matched with any pre-stored pig face depth image. The pig spot inspection method and device, the pig spot inspection system and the computer readable storage medium of the application judge whether the verified pig face depth image of the current pig is matched with the pre-stored pig face depth image of the pig associated with the tracing code or not, and send prompt information (for example, prompt that the pig is replaced) when the verified pig face depth image is not matched with any pre-stored pig face depth image. The pig face is unique and can not be modified basically, so that the verification accuracy rate is high.
Description
Technical Field
The application relates to the technical field of information tracing, in particular to a pig spot inspection method, a pig spot inspection device, a pig spot inspection system and a nonvolatile computer readable storage medium in a slaughterhouse.
Background
At present, a user generally performs spot check on pigs in the process of loading and transporting the pigs to a slaughterhouse so as to ensure that the pigs are not replaced in the transportation process, but the spot check usually verifies whether the pigs are qualified pigs which have been quarantined when the pigs are loaded through the modes of ear tag matching and the like, however, the ear tags are easy to replace, and the spot check accuracy is not high.
Disclosure of Invention
The embodiment of the application provides a pig spot check method, a pig spot check device, a pig spot check system and a nonvolatile computer readable storage medium for a slaughterhouse.
The pig spot inspection method for the slaughterhouse comprises the following steps: obtaining prestored pig face depth images of all pigs related to the tracing codes; acquiring a verified pig face depth image of a current pig; judging whether the verified pig face depth image is matched with the prestored pig face depth image or not; and sending prompt information when the verified pig face depth image is not matched with any pre-stored pig face depth image.
According to the pig spot inspection method for the slaughter house, whether the verified pig face depth image of the current pig is matched with the pre-stored pig face depth image of the pig associated with the tracing code or not is judged, and when the verified pig face depth image is not matched with any pre-stored pig face depth image, prompt information is sent (if the pig is prompted to be replaced). The pig face depth image is used for representing the identity information of the pig, and the pig face is unique and can not be modified basically, so that the verification accuracy rate is high.
In some embodiments, the determining whether the verified pig face depth image matches the pre-stored pig face depth image includes: judging whether the similarity between the verified pig face depth image and the prestored pig face depth image reaches a preset similarity or not; when the similarity between the verified pig face depth image and the prestored pig face depth image is greater than a preset similarity, determining that the verified pig face depth image is matched with the prestored pig face depth image; and when the similarity between the verified pig face depth image and the pre-stored pig face depth image is smaller than a preset similarity, determining that the verified pig face depth image is not matched with the pre-stored pig face depth image.
In certain embodiments, the swine spot test method further comprises: and when the verified pig face depth image is matched with any one of the pre-stored pig face depth images, generating verified qualified information and associating the verified qualified information with the pre-stored pig face depth image matched with the verified pig face depth image.
In certain embodiments, the swine spot test method further comprises: obtaining pre-stored pig information of all pigs associated with the tracing codes, wherein the pre-stored pig information is associated with the pre-stored pig face depth image; obtaining the information of the checked pigs of the current pigs; when the verified pig face depth image is matched with any one of the prestored pig face depth images, judging whether verified pig information is matched with matched pig information, wherein the matched pig information is the prestored pig information associated with the prestored pig face depth image matched with the verified pig face depth image; and sending the prompt information when the information of the checked pig is not matched with the information of the matched pig.
In certain embodiments, the swine spot test method further comprises: and when the verified pig information is matched with the matched pig information, generating verified qualified information and associating the verified qualified information with the prestored pig face depth image matched with the verified pig face depth image.
The application discloses pig selective examination device in slaughterhouse includes that first acquisition module, second acquire module, first judgement module and first suggestion module. The first acquisition module is used for acquiring prestored pig face depth images of all pigs related to the tracing codes; the second acquisition module is used for acquiring the verified pig face depth image of the current pig; the first judging module is used for judging whether the verified pig face depth image is matched with the prestored pig face depth image or not; and the first prompt module is used for sending prompt information when the verified pig face depth image is not matched with any pre-stored pig face depth image.
The pig spot inspection system of the slaughter house comprises a processor and a prompter, wherein the processor is used for acquiring prestored pig face depth images of all pigs related to the tracing codes; acquiring a verified pig face depth image of a current pig; judging whether the verified pig face depth image is matched with the prestored pig face depth image or not; the prompter is used for sending prompt information when the verified pig face depth image is not matched with any pre-stored pig face depth image.
In some embodiments, the processor is further configured to: judging whether the similarity between the verified pig face depth image and the prestored pig face depth image reaches a preset similarity or not; when the similarity between the verified pig face depth image and the prestored pig face depth image is greater than a preset similarity, determining that the verified pig face depth image is matched with the prestored pig face depth image; and when the similarity between the verified pig face depth image and the pre-stored pig face depth image is smaller than a preset similarity, determining that the verified pig face depth image is not matched with the pre-stored pig face depth image.
In some embodiments, the processor is further configured to: and when the verified pig face depth image is matched with any one of the pre-stored pig face depth images, generating verified qualified information and associating the verified qualified information with the pre-stored pig face depth image matched with the verified pig face depth image.
In some embodiments, the processor is further configured to: obtaining pre-stored pig information of all pigs associated with the tracing codes, wherein the pre-stored pig information is associated with the pre-stored pig face depth image; obtaining the information of the checked pigs of the current pigs; and when the verified pig face depth image is matched with any one of the pre-stored pig face depth images, judging whether the verified pig information is matched with the matched pig information, wherein the matched pig information is the pre-stored pig information associated with the pre-stored pig face depth image matched with the verified pig face depth image. The prompter is also used for sending the prompt information when the information of the verified pigs is not matched with the information of the matched pigs.
In some embodiments, the processor is further configured to: and when the verified pig information is matched with the matched pig information, generating verified qualified information and associating the verified qualified information with the prestored pig face depth image matched with the verified pig face depth image.
One or more non-transitory computer-readable storage media embodying computer-executable instructions that, when executed by one or more processors, cause the processors to perform the swine spot check method of any of the above embodiments.
The pig selective examination device, the pig selective examination system and the nonvolatile computer readable storage medium of the slaughterhouse of the application judge whether the verified pig face depth image of the current pig is matched with the pre-stored pig face depth image of the pig associated with the tracing code, and when the verified pig face depth image is not matched with any pre-stored pig face depth image, prompt information (if the prompt pig is replaced) is sent. The pig face depth image is used for representing the identity information of the pig, and the pig face is unique and can not be modified basically, so that the verification accuracy rate is high.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a schematic flow chart of a swine spot test method according to certain embodiments of the present disclosure;
FIG. 2 is a block schematic diagram of a swine spot test device according to certain embodiments of the present application;
FIG. 3 is a schematic diagram of a pig spot check system according to certain embodiments of the present application;
FIG. 4 is a schematic view of a pig spot check method according to some embodiments of the present application;
FIG. 5 is a schematic flow chart of a swine spot test method according to certain embodiments of the present application;
FIG. 6 is a block schematic diagram of a swine spot test device according to certain embodiments of the present application;
FIG. 7 is a schematic flow chart of a swine spot test method according to certain embodiments of the present application;
FIG. 8 is a block schematic diagram of a swine spot test device according to certain embodiments of the present application;
FIG. 9 is a schematic flow chart of a method for spot-testing pigs according to certain embodiments of the present application;
FIG. 10 is a block schematic diagram of a swine spot test device according to certain embodiments of the present application;
fig. 11-13 are schematic views of a pig spot check method according to some embodiments of the present application;
FIG. 14 is a schematic flow chart of a swine spot test method according to certain embodiments of the present application;
FIG. 15 is a block schematic diagram of a swine spot test device according to certain embodiments of the present application; and
fig. 16 is a schematic illustration of a connection between a swine spot check system and a storage medium according to some embodiments of the present application.
Detailed Description
Embodiments of the present application will be further described below with reference to the accompanying drawings. The same or similar reference numbers in the drawings identify the same or similar elements or elements having the same or similar functionality throughout. In addition, the embodiments of the present application described below in conjunction with the accompanying drawings are exemplary and are only for the purpose of explaining the embodiments of the present application, and are not to be construed as limiting the present application.
Referring to fig. 1, the method for selectively detecting pigs according to the embodiment of the present application includes:
011: obtaining prestored pig face depth images of all pigs related to the tracing codes;
012: acquiring a verified pig face depth image of a current pig;
013: judging whether the verified pig face depth image is matched with a prestored pig face depth image or not; and
014: and sending prompt information when the verified pig face depth image is not matched with any pre-stored pig face depth image.
Referring to fig. 2, a pig spot-checking device 10 according to an embodiment of the present disclosure includes a first obtaining module 11, a second obtaining module 12, a first determining module 13, and a first prompting module 14. The first obtaining module 11 is configured to obtain pre-stored pig face depth images of all pigs associated with the tracing codes. The second obtaining module 12 is configured to obtain a depth image of a face of a pig under examination of a current pig. The first judging module 13 is used for judging whether the verified pig face depth image is matched with the pre-stored pig face depth image. The first prompt module 14 is used for sending prompt information when the verified pig face depth image is not matched with any pre-stored pig face depth image. That is, step 011 is implemented by the first acquiring module 11, step 012 is implemented by the second acquiring module 12, step 013 is implemented by the first determining module 13, and step 014 is implemented by the first prompting module 14.
Referring to fig. 3, a pig spot check system 100 according to an embodiment of the present disclosure includes a processor 20 and a prompter 30. The processor 20 is used for acquiring prestored pig face depth images of all pigs related to the tracing codes; acquiring a verified pig face depth image of a current pig; and judging whether the verified pig face depth image is matched with the prestored pig face depth image. The prompter 30 is used for sending out prompt information when the verified pig face depth image is not matched with any pre-stored pig face depth image. That is, step 011, step 012, and step 013 can be implemented by processor 20, and step 014 can be implemented by prompter 30.
At present, when pigs in a pork pig farm are sold, a user needs to enter an animal quarantine institute for applying for quarantine, then a quarantine veterinarian assigned by the animal quarantine institute detects whether the pigs to be sold are in question or not, after the quarantine veterinarian finishes the quarantine, the user also needs to drive a pig transporting vehicle to an animal quarantine ticket applied by the animal quarantine institute (the pigs in the current pig transporting vehicle are only certified and marketable certificates), and the pigs can be transported to a slaughter house for sale after the quarantine ticket is taken. However, after the pigs are quarantined and the quarantine tickets are obtained, if the pigs are replaced in the process of being transported to the slaughterhouse, it is difficult to detect which pigs are replaced, so that the quarantine veterinarian can perform a check in the process of being transported to the slaughterhouse to check whether the current pigs are qualified pigs for quarantine when loading, but the check mode usually adopts a mode of checking ear tags, and the ear tags are easy to replace, so that the accuracy of the check is affected.
Specifically, before loading pigs, the processor 20 first acquires the collected pre-stored pig face depth image and the pre-stored pig information, and then associates the pre-stored pig face depth image, the pre-stored pig information and the preset tracing code. The pre-stored pig face depth image can be used as the identity information of the pig and cannot be changed. The pre-stored pig information can comprise pre-stored weight parameters, pre-stored body temperature parameters and the like. The tracing code may be a one-dimensional code, a two-dimensional code, or a three-dimensional code, which is described in this embodiment by taking the tracing code as the two-dimensional code as an example, and the principle is similar when the tracing code is the one-dimensional code or the three-dimensional code, and is not described herein again. The traceability code can be associated with the above-mentioned quarantine ticket, e.g. printed directly on the quarantine ticket. That is to say, a car of pigs that are qualified for quarantine is not only associated with the quarantine ticket (indicating that the car of pigs is qualified for quarantine), but also includes a traceability code on the quarantine ticket, and the user can obtain the pre-stored pig face depth image and the pre-stored pig face information of the pig that is qualified for quarantine corresponding to the quarantine ticket through the traceability code.
At the time of the sampling test, the processor 20 first acquires pre-stored pig face depth images of all pigs associated with the traceback codes. For example, the pig spot check system 100 further comprises a terminal 40, the terminal 40 comprises a scanner 48 (such as a camera), and the user acquires the pre-stored pig face depth images of all pigs associated with the traceability codes by scanning the traceability codes by using the scanner 48.
After obtaining the verified pig face depth image and the pre-stored pig face depth image, processor 20 determines whether the verified pig face depth image matches the pre-stored pig face depth image. For example, the processor 20 determines whether the detected pig face depth image matches the pre-stored pig face depth image by determining the similarity between the detected pig face depth image and the pre-stored pig face depth image, and when the similarity between the detected pig face depth image and the pre-stored pig face depth image is greater than or equal to a predetermined similarity (e.g., 80%), it indicates that the detected pig face depth image matches the pre-stored pig face depth image; and when the similarity between the verified pig face depth image and the pre-stored pig face depth image is smaller than the preset similarity, indicating that the verified pig face depth image is not matched with the pre-stored pig face depth image.
If the verified pig face depth image is not matched with any pre-stored pig face depth image, the current pig is not the same batch of pigs during loading, and the current pig can be replaced. Therefore, when the verified pig face depth image is not matched with any pre-stored pig face depth image, the prompter 30 sends out prompt information. As shown in fig. 4, the prompter 30 may be a display 44 of the terminal 40. The user is carrying out the spot check to the pig in the fortune pig car P1 in transit, and the user acquires the verified pig face depth image of the pig in fortune pig car P1 through terminal 40, and when verified pig face depth image and arbitrary prestore pig face depth image all do not match, display 44 shows prompt information: "Current pig has been replaced, please handle! "to prompt the user that the current pig is not the same batch of pigs when loaded; alternatively, the reminder 30 may be a speaker 46 of a mobile phone, and when the verified pig face depth image does not match any of the pre-stored pig face depth images, the speaker 46 will emit a signal indicating that the current pig has been replaced, please process! The prompt tone prompts the user that the current pig is not the same pig batch when loading the car; or, when the verified pig face depth image is not matched with any pre-stored pig face depth image, the display 44 displays prompt information: "Current pig has been replaced, please handle! ", and speaker 46 issues a signal that" the current pig has been replaced, please process! "to prompt the user. It can be understood that due to time shortage in the transportation process, a user can check whether the current pig is replaced or not in a checking mode so as to save time, and the user can also independently select to check or check all pigs.
The pig selective examination method, the pig selective examination device 10 and the pig selective examination system 100 of the slaughterhouse of the application judge whether the verified pig face depth image of the current pig is matched with the pre-stored pig face depth image of the pig associated with the tracing code, and send prompt information (if the prompt pig is replaced) when the verified pig face depth image is not matched with any pre-stored pig face depth image. The pig face depth image is used for representing the identity information of the pig, and the pig face is unique and can not be modified basically, so that the verification accuracy rate is high.
In the embodiment of the present application, the terminal 40 may be a terminal device such as a handheld scanning device, a mobile phone, a tablet computer, a notebook computer, a desktop computer, and an intelligent wearable device (e.g., an intelligent watch).
Referring to fig. 5, in some embodiments, step 013 includes:
0131: judging whether the similarity of the verified pig face depth image and the prestored pig face depth image reaches a preset similarity or not;
0132: when the similarity between the verified pig face depth image and the prestored pig face depth image is greater than or equal to the preset similarity, determining that the verified pig face depth image is matched with the prestored pig face depth image; and
0133: and when the similarity between the verified pig face depth image and the pre-stored pig face depth image is smaller than the preset similarity, determining that the verified pig face depth image is not matched with the pre-stored pig face depth image.
Referring to fig. 6, in some embodiments, the first determining module 13 includes a determining unit 131, a first determining unit 132, and a second determining unit 133. The judging unit 131 is configured to judge whether the similarity between the verified pig face depth image and the pre-stored pig face depth image reaches a predetermined similarity. The first determining unit 132 is configured to determine that the verified pig face depth image matches the pre-stored pig face depth image when the similarity between the verified pig face depth image and the pre-stored pig face depth image is greater than or equal to a predetermined similarity. The second determining unit 133 is configured to determine that the verified pig face depth image is not matched with the pre-stored pig face depth image when the similarity between the verified pig face depth image and the pre-stored pig face depth image is smaller than a predetermined similarity. That is, step 0131 may be implemented by the judging unit 131, step 0132 may be implemented by the first determining unit 132, and step 0133 may be implemented by the second determining unit 133.
Referring again to fig. 3, in some embodiments, the processor 20 is further configured to determine whether the similarity between the verified pig face depth image and the pre-stored pig face depth image reaches a predetermined similarity; when the similarity between the verified pig face depth image and the prestored pig face depth image is greater than or equal to the preset similarity, determining that the verified pig face depth image is matched with the prestored pig face depth image; and when the similarity between the verified pig face depth image and the pre-stored pig face depth image is smaller than the preset similarity, determining that the verified pig face depth image is not matched with the pre-stored pig face depth image. That is, step 0131, step 0132, and step 0133 may be implemented by processor 20.
Specifically, when determining whether the verified pig face depth image matches the pre-stored pig face depth image, the processor 20 first determines that the verified pig face depth image matches the pre-stored pig face depth image by determining whether the similarity between the verified pig face depth image and the pre-stored pig face depth image reaches a predetermined similarity, and when the similarity between the verified pig face depth image and the pre-stored pig face depth image is greater than or equal to the predetermined similarity, determines that the verified pig face depth image matches the pre-stored pig face depth image. And when the similarity between the verified pig face depth image and the pre-stored pig face depth image is smaller than the preset similarity, determining that the verified pig face depth image is not matched with the pre-stored pig face depth image. For example, the predetermined similarity is 85%, and when the similarity between the verified pig face depth image and the pre-stored pig face depth image is greater than or equal to 85%, matching is indicated, and when the similarity between the verified pig face depth image and the pre-stored pig face depth image is less than 85%, mismatching is indicated. Therefore, whether the verified pig face depth image is matched with the prestored pig face depth image can be quickly judged.
Referring to fig. 7, in some embodiments, the method for selectively detecting pigs further comprises:
015: and when the verified pig face depth image is matched with any pre-stored pig face depth image, generating verified qualified information and associating the verified qualified information with the pre-stored pig face depth image matched with the verified pig face depth image.
Referring to fig. 8, in some embodiments, the pig spot-checking apparatus 10 further includes a first generation module 15. The first generation module 15 is configured to generate the verification-qualified information and associate the verification-qualified information with the pre-stored pig face depth image matched with the verified pig face depth image when the verified pig face depth image is matched with any pre-stored pig face depth image. That is, step 015 may be implemented by first generation module 15.
Referring again to fig. 3, in some embodiments, the processor 20 is further configured to generate the qualification information and associate the qualification information with the pre-stored pig face depth image matched with the verified pig face depth image when the verified pig face depth image is matched with any of the pre-stored pig face depth images. That is, step 015 may be implemented by processor 20.
Specifically, when the processor 20 judges that the prestored pig face depth images matched with the verified pig face depth images exist in all the prestored pig face depth images associated with the tracing code, that is, the current pig is the same pig (i.e., the pig qualified for quarantine) during loading, and is not replaced, at this time, the verified information can be generated and associated with the verified information and the prestored pig face depth images matched with the verified pig face depth images, so that the current pig is verified to be qualified. Similarly, when the processor 20 determines that there is no pre-stored pig face depth image matching the verified pig face depth image in all the pre-stored pig face depth images associated with the traceback code, it may generate information of failed verification (e.g., failed pig face verification) and associate the information of failed verification with the verified pig face depth image, indicating that the current pig is not verified and may need to be inspected in a critical manner. Therefore, when the user traces the information of the pig according to the pig face depth image, the user can check whether the pig is checked or not and whether the check is qualified or not.
In some embodiments, if the verified pig face depth image of the current pig is matched with two or more pre-stored pig face depth images, the current pig is considered to be verified to be qualified, and verification qualified information is generated; and taking the verified pig face depth image as a prestored pig face depth image and associating verified qualified information.
Specifically, processor 20 may match the verified pig face depth image with all pre-stored pig face depth images, and in some cases, it may happen that the pig face depth images of two or more pigs are similar, so when the verified pig face depth image is matched with all pre-stored pig face depth images, the pre-stored pig face depth images of two pigs are matched with the verified pig face depth image. The above situation still indicates that the current pig is the pig loaded in the car and is not replaced, and the processor 20 can directly generate the verification qualified information; it can be understood that when the verified pig face depth image is matched with two or more pre-stored pig face depth images, the two or more pre-stored pig face depth images are not accurate enough, the pre-stored pig face depth images can be directly replaced by the verified pig face depth images to serve as new identity information of the current pig, and the verified qualified information is associated with the verified pig face depth images. For example, when the verified pig face depth image is matched with the two pre-stored pig face depth images, the pre-stored pig face depth images of two pigs in the current pig transporting vehicle are inaccurate, and after the pigs of the whole pig transporting vehicle are verified, the two pigs can be found to be matched with the two pre-stored pig face depth images, so that the verified pig face depth images of the two pigs serve as the pre-stored pig face depth images, and the corresponding pre-stored pig face depth images can be accurately found in the subsequent verification of the pig face depth images of the two pigs. Therefore, each pig is matched with one pre-stored pig face depth image, and the tracing accuracy is guaranteed.
In other embodiments, when matching the verified pig face depth image with all the pre-stored pig face depth images, the processor 20 stops continuously matching the remaining pre-stored pig face depth images as long as it is determined that one pre-stored pig face depth image matches the verified pig face depth image, and the processor 20 generates verified information and associates the verified information with the pre-stored pig face depth image matching the verified pig face depth image, thereby reducing the amount of operation in verification and increasing the verification speed.
In some embodiments, the processor 20 matches the verified pig face depth image with all pre-stored pig face depth images associated with the traceback code, and when there are two or more pig face depth images in all pre-stored pig face depth images associated with the traceback code that match the verified pig face depth image, the current pig is deemed to be not qualified for verification.
Specifically, when two or more pig face depth images are matched with the verified pig face depth image in all pig face depth images associated with the tracing code, although the current pig is the same pig (i.e. qualified pig) when loading, the information of the two matched pigs may be simultaneously obtained when the information of the pig is subsequently traced, so that the traced information is not accurate enough. Thus, when the processor 20 determines that the current pig is not eligible for verification, the gate remains closed to prevent the ineligible pig from entering the slaughter house, and the prompter 34 issues a prompt to prompt the user that the loaded pig has only pigs of similar identity (pig face depth image). The pigs which are not qualified in the verification test can only be directly returned to the original pig farm to be conveniently transported to the original pig farm for loading again. All pigs loaded on the car are matched with one prestored pig face depth image, and the tracing accuracy is guaranteed.
In some embodiments, when the verified pig face depth image is not matched with any pre-stored pig face depth image associated with the tracing code, obtaining pig farm information of a pig associated with the current tracing code, and then obtaining pre-stored pig face depth images of all pigs in the corresponding pig farm, so as to match the verified pig face depth image with the pre-stored pig face depth images of all pigs in the corresponding pig farm.
In particular, a pig may only have been replaced when the verified pig face depth image does not match any of the pre-stored pig face depth images associated with the traceback code. And matching the verified pig face depth image with the prestored pig face depth images of all pigs in a pig farm corresponding to the pigs associated with the tracing codes, wherein if the verified pig face depth images are not matched with the prestored pig face depth images, the current pigs are only external pigs in the pig farm or unregistered pigs in the current pig farm, and potential safety hazards exist, so that key inspection is needed.
When the verified pig face depth image is not matched with any pre-stored pig face depth image associated with the traceability codes, the interchange of pigs among a plurality of pig transporting vehicles loaded in a pig farm can be possible (for example, each pig transporting vehicle corresponds to one traceability code). Taking the example that the pigs of the two pig transporting vehicles are interchanged, the pig transporting vehicle A has a pig M1 with a verified pig face depth image which is not matched with any pre-stored pig face depth image associated with the tracing code of the pig transporting vehicle A, but the pig M1 is matched with one pre-stored pig face depth image associated with the tracing code of the pig transporting vehicle B, and similarly, the pig transporting vehicle B has a pig M2 with a verified pig face depth image which is not matched with any pre-stored pig face depth image associated with the tracing code of the pig transporting vehicle B, but the pig M2 is matched with one pre-stored pig face depth image associated with the tracing code of the pig transporting vehicle A; in the above situation, the pig M1 of the pig transport vehicle A and the pig M2 of the pig transport vehicle B are exchanged, and the pig M2 is only required to be loaded into the pig transport vehicle A, and the pig M1 is only required to be loaded into the pig transport vehicle B. Therefore, the pigs M1 and the pigs M2 do not need to be sent back to a pig farm for re-quarantine and loading, and waste of manpower and material resources is avoided.
Referring to fig. 9, in some embodiments, the method for selectively detecting pigs further comprises:
016: obtaining pre-stored pig information of all pigs related to the tracing codes, wherein the pre-stored pig information is related to a pre-stored pig face depth image;
017: obtaining the information of the checked pigs of the current pigs;
018: when the verified pig face depth image is matched with any pre-stored pig face depth image, judging whether verified pig information is matched with matched pig information or not, wherein the matched pig information is pre-stored pig information associated with the pre-stored pig face depth image matched with the verified pig face depth image; and
019: and sending prompt information when the information of the checked pig is not matched with the information of the matched pig.
Referring to fig. 10, in some embodiments, the pig selective examination device 10 further includes a third obtaining module 16, a fourth obtaining module 17, a second determining module 18 and a second prompting module 19. The third obtaining module 16 is configured to obtain pre-stored pig information of all pigs associated with the tracing codes, where the pre-stored pig information is associated with the pre-stored pig face depth image. The fourth obtaining module 17 is configured to obtain information of a verified pig of the current pig. The second judging module 18 is configured to judge whether the verified pig information matches with the matched pig information when the verified pig face depth image matches with any pre-stored pig face depth image, and the matched pig information is pre-stored pig information associated with the pre-stored pig face depth image matching with the verified pig face depth image. The second prompting module 19 is used for sending out prompting information when the information of the checked pig is not matched with the information of the matched pig. That is, step 016 can be implemented by the third obtaining module 16, step 017 can be implemented by the fourth obtaining module 17, step 018 can be implemented by the second determining module 18, and step 019 can be implemented by the second prompting module 19.
Referring again to fig. 3, in some embodiments, the processor 20 is further configured to obtain pre-stored pig information of all pigs associated with the traceback code, where the pre-stored pig information is associated with a pre-stored pig face depth image; obtaining the information of the checked pigs of the current pigs; when the verified pig face depth image is matched with any pre-stored pig face depth image, whether verified pig information is matched with matched pig information or not is judged, and the matched pig information is pre-stored pig information associated with the pre-stored pig face depth image matched with the verified pig face depth image. The prompter 30 is also used for sending out prompt information when the information of the checked pig is not matched with the information of the matched pig. That is, step 016, step 017 and step 018 may be implemented by the processor 20, and step 019 may be implemented by the prompter 30.
Specifically, the processor 20 acquires the pre-stored pig face information of all pigs associated with the traceability code when acquiring the pre-stored pig face depth images of all pigs associated with the traceability code, wherein the pre-stored pig face depth images are associated with the pre-stored pig face information. And the processor 20 acquires the face depth image of the current pig to judge whether the face depth image of the current pig is matched with any pre-stored face depth image, if so, the information of the current pig is acquired, then the processor 20 judges whether the information of the current pig is matched with the information of the matched pig (the information of the matched pig is the pre-stored pig information associated with the pre-stored face depth image matched with the face depth image of the current pig), and when the information of the matched pig is not matched with the information of the matched pig (namely the current pig is unqualified in the verification), the prompter 30 sends out prompt information.
In the example shown in fig. 11, the user scans the trace back code through the scanner 48 (e.g., a camera) of the terminal 40 to obtain the pre-stored pig face depth image and the pre-stored pig information of all pigs associated with the trace back code. Then the user gathers the current inspection pig face depth image of pig through the degree of depth camera 42 of terminal 40 again, and processor 20 judges whether the inspection pig face depth image of gathering matches with arbitrary pig face depth image of prestoring, if check pig face depth image matches with arbitrary pig face depth image of prestoring, then prompting device 30 (if display 44) can send prompt information: "pig face is qualified, please continue to check pig information! To prompt the acceptance of the pig face check.
The processor 20 then determines whether the verified pig information matches the matched pig information, where the matched pig information may include a matched weight parameter, a matched body temperature parameter, and the like, and in the embodiment of the present application, the matched pig information includes the matched weight parameter and the matched body temperature parameter as an example, it can be understood that the matched pig information may include more information, such as a pig farm where a pig is born, a pig farm where a pig is fattened, a breed of the pig, vehicle information of a pig, and the like, which is not limited herein.
Referring again to fig. 3, the pig spot check system 100 further includes a detection device 50. The detection device 50 includes a scale 52 and a temperature sensor 54. The weighing device 52 is used for detecting the weight parameters of the current pig. A temperature sensor 54 is mounted on the scale 52 for detecting the body temperature parameter of the current pig. The user collects the information (including the check weight parameter and the check body temperature parameter) of the current pig through the detection device 50. The processor 20 determines that the current pig is replaced and that the current pig is not qualified for verification by determining whether the difference between the verified weight parameter and the matched weight parameter is greater than a predetermined weight difference (e.g., 10KG), and if the difference is greater than the predetermined weight difference, because the pig cannot lose such a large weight during transportation.
The processor 20 may further determine whether the verified body temperature parameter is within a preset body temperature range (the preset body temperature range is 38.5 degrees to 39.5 degrees of the normal body temperature of the pig), and if the verified body temperature parameter is not within the preset body temperature range, it indicates that the pig is likely to be infected during transportation, and it may be determined that the current pig is not verified.
When the current pig is not qualified in the verification, the prompter 30 sends out prompt information. For example, as shown in FIGS. 12 and 13, when the difference between the verified weight parameter and the matched weight parameter is greater than the predetermined weight difference, the prompter 30 (e.g., display 44) sends a prompt message, "weight change is too large, the current pig has been replaced, verification is not qualified! "; when the verified body temperature parameter is not within the preset body temperature range, the prompter 30 sends out prompt information: "the current pig has abnormal body temperature and is not qualified in the verification! ". So, no matter be pig face depth image, or arbitrary pig information mismatch, all regard as the verification unqualified, only when pig face depth image, all pig information all match, just judge that the verification is qualified to further promote the rate of accuracy of verification, prevent that the pig is only replaced, prevent that the pig that infects in transit from only getting into the slaughterhouse.
Referring to fig. 14, in some embodiments, the method for spot-checking pigs further comprises:
020: and when the verified pig information is matched with the matched pig information, generating verified information and associating the verified information with a prestored pig face depth image matched with the verified pig face depth image.
Referring to fig. 15, in some embodiments, the pig spot-check device 10 further includes a second generation module 20. The second generating module 20 is configured to generate the qualified verification information and associate the qualified verification information with the pre-stored pig face depth image matched with the verified pig face depth image when the verified pig information matches with the matched pig information. That is, step 020 can be implemented by the second generating module 20.
Referring again to fig. 3, in some embodiments, the processor 20 is further configured to generate the qualifying information and associate the qualifying information with the pre-stored pig face depth image that matches the verified pig face depth image when the verified pig information matches the matching pig information. That is, step 020 can be implemented by processor 20.
Specifically, when the verified pig face depth image is matched with the pre-stored pig face depth image and the verified pig information is matched with the matched pig information, the verification of the pig is qualified, it can be determined that the current pig is the loaded pig and is not replaced, and at this time, the processor 20 can generate the verified information and associate the verified information with the pre-stored pig face depth image matched with the verified pig face depth image. Similarly, when the examined pig face depth image does not match the pre-stored pig face depth image, or any examined pig information does not match the matched pig information, the processor 20 may determine that the pig is not qualified for examination, may generate information of unqualified examination (e.g., unqualified pig face examination, unqualified weight parameter examination, and/or unqualified body temperature parameter examination) and associate the information of unqualified examination with the examined pig face depth image, and indicate that the current pig is not qualified for examination, which may require a focused examination. Therefore, the user can check whether the pig is checked or not and the specific checking information of the pig when the information of the pig is traced later.
In addition, the pigs which are not qualified in inspection can be subjected to quarantine again on the spot, if the pigs are qualified in quarantine, the inspected pig face depth images of the pigs which are qualified in quarantine are associated with the tracing codes, the pigs do not need to be sent back to a pig farm to be re-loaded for quarantine, and manpower and material resources are saved.
Referring again to fig. 3, in some embodiments, the pig spot check system 100 further includes a cloud server 60, the cloud server 60 includes a processing chip 62, and the processing chip 62 is communicatively connected to both the terminal 40 and the detection device 50. At this time, the processing chip 62 may perform all the functions of the processor 20 in any of the foregoing embodiments. In other embodiments, the processing of the information may be performed partially by the processor 20 of the terminal 40 and partially by the processing chip 62 of the cloud server 60, so as to increase the processing speed.
The pig spot inspection method, the pig spot inspection device 10 and the pig spot inspection system 100 of the application judge whether the verified pig face depth image of the current pig is matched with the pre-stored pig face depth image of the pig associated with the tracing code, and send prompt information (for example, prompt that the pig is replaced) when the verified pig face depth image is not matched with any pre-stored pig face depth image. The pig face depth image is used for representing the identity information of the pig, and the pig face is unique and can not be modified basically, so that the verification accuracy rate is high.
Referring to FIG. 16, embodiments of the invention also provide one or more non-transitory computer-readable storage media 300 containing computer-executable instructions 302. The computer readable storage medium 300 is connected to the processor 20 of the traceability system 100. The computer-executable instructions 302, when executed by the one or more processors 20, cause the processors 20 to perform the swine only spot test method of any of the above embodiments.
For example, when the computer-executable instructions 302 are executed by the processor 20, the processor 20 performs a swine only spot test method comprising the steps of:
011: obtaining prestored pig face depth images of all pigs related to the tracing codes;
012: acquiring a verified pig face depth image of a current pig;
013: judging whether the verified pig face depth image is matched with a prestored pig face depth image or not; and
014: and sending prompt information when the verified pig face depth image is not matched with any pre-stored pig face depth image.
As another example, when the computer-executable instructions 302 are executed by the processor 20, the processor 20 performs a swine only spot test method comprising the steps of:
0131: judging whether the similarity of the verified pig face depth image and the prestored pig face depth image reaches a preset similarity or not;
0132: when the similarity between the verified pig face depth image and the prestored pig face depth image is greater than or equal to the preset similarity, determining that the verified pig face depth image is matched with the prestored pig face depth image; and
0133: and when the similarity between the verified pig face depth image and the pre-stored pig face depth image is smaller than the preset similarity, determining that the verified pig face depth image is not matched with the pre-stored pig face depth image.
Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations of the above embodiments may be made by those of ordinary skill in the art within the scope of the present application, which is defined by the claims and their equivalents.
Claims (10)
1. A pig spot inspection method for a slaughter house, which is characterized by comprising the following steps:
obtaining prestored pig face depth images of all pigs related to the tracing codes;
acquiring a verified pig face depth image of a current pig;
judging whether the verified pig face depth image is matched with the prestored pig face depth image or not; and
when the verified pig face depth image is not matched with any one of the prestored pig face depth images, sending prompt information;
when the verified pig face depth image is matched with two or more pre-stored pig face depth images, replacing the pre-stored pig face depth image with the verified pig face depth image to serve as new identity information of the current pig, and associating verified qualified information with the verified pig face depth image;
when the verified pig face depth image is not matched with any pre-stored pig face depth image associated with the tracing code, obtaining pig farm information of a pig associated with the current tracing code, and then obtaining the pre-stored pig face depth images of all pigs in a corresponding pig farm so as to match the verified pig face depth image with the pre-stored pig face depth images of all pigs in the corresponding pig farm;
and when the verified pig face depth image is matched with any one of the pre-stored pig face depth images, generating verified qualified information and associating the verified qualified information with the pre-stored pig face depth image matched with the verified pig face depth image.
2. The method of claim 1, wherein the determining whether the verified pig face depth image matches the pre-stored pig face depth image comprises:
judging whether the similarity between the verified pig face depth image and the prestored pig face depth image reaches a preset similarity or not;
when the similarity between the verified pig face depth image and the prestored pig face depth image is greater than a preset similarity, determining that the verified pig face depth image is matched with the prestored pig face depth image; and
and when the similarity between the verified pig face depth image and the pre-stored pig face depth image is smaller than the preset similarity, determining that the verified pig face depth image is not matched with the pre-stored pig face depth image.
3. The swine spot inspection method according to claim 1, further comprising:
obtaining pre-stored pig information of all pigs associated with the tracing codes, wherein the pre-stored pig information is associated with the pre-stored pig face depth image;
obtaining the information of the checked pigs of the current pigs;
when the verified pig face depth image is matched with any one of the prestored pig face depth images, judging whether verified pig information is matched with matched pig information, wherein the matched pig information is the prestored pig information associated with the prestored pig face depth image matched with the verified pig face depth image; and
and sending the prompt information when the information of the checked pig is not matched with the information of the matched pig.
4. The swine spot check method according to claim 3, further comprising:
and when the verified pig information is matched with the matched pig information, generating verified qualified information and associating the verified qualified information with the prestored pig face depth image matched with the verified pig face depth image.
5. A pig spot-checking device for a slaughterhouse, the pig spot-checking device comprising:
the first acquisition module is used for acquiring prestored pig face depth images of all pigs related to the tracing codes;
the second acquisition module is used for acquiring the verified pig face depth image of the current pig;
the first judgment module is used for judging whether the verified pig face depth image is matched with the prestored pig face depth image or not; and
the first prompting module is used for sending prompting information when the verified pig face depth image is not matched with any pre-stored pig face depth image;
the pig spot-checking device is also used for:
when the verified pig face depth image is matched with two or more pre-stored pig face depth images, replacing the pre-stored pig face depth image with the verified pig face depth image to serve as new identity information of the current pig, and associating verified qualified information with the verified pig face depth image;
when the verified pig face depth image is not matched with any pre-stored pig face depth image associated with the tracing code, obtaining pig farm information of a pig associated with the current tracing code, and then obtaining the pre-stored pig face depth images of all pigs in a corresponding pig farm so as to match the verified pig face depth image with the pre-stored pig face depth images of all pigs in the corresponding pig farm;
and when the verified pig face depth image is matched with any one of the pre-stored pig face depth images, generating verified qualified information and associating the verified qualified information with the pre-stored pig face depth image matched with the verified pig face depth image.
6. The pig selective examination system for the slaughter house is characterized by comprising a processor and a prompter, wherein the processor is used for acquiring prestored pig face depth images of all pigs related to a tracing code; acquiring a verified pig face depth image of a current pig; judging whether the verified pig face depth image is matched with the prestored pig face depth image or not; the prompter is used for sending prompt information when the verified pig face depth image is not matched with any pre-stored pig face depth image;
the processor is further configured to:
when the verified pig face depth image is matched with two or more pre-stored pig face depth images, replacing the pre-stored pig face depth image with the verified pig face depth image to serve as new identity information of the current pig, and associating verified qualified information with the verified pig face depth image;
when the verified pig face depth image is not matched with any pre-stored pig face depth image associated with the tracing code, obtaining pig farm information of a pig associated with the current tracing code, and then obtaining the pre-stored pig face depth images of all pigs in a corresponding pig farm so as to match the verified pig face depth image with the pre-stored pig face depth images of all pigs in the corresponding pig farm;
and when the verified pig face depth image is matched with any one of the pre-stored pig face depth images, generating verified qualified information and associating the verified qualified information with the pre-stored pig face depth image matched with the verified pig face depth image.
7. The swine only spot check system of claim 6, wherein the processor is further configured to:
judging whether the similarity between the verified pig face depth image and the prestored pig face depth image reaches a preset similarity or not;
when the similarity between the verified pig face depth image and the prestored pig face depth image is greater than a preset similarity, determining that the verified pig face depth image is matched with the prestored pig face depth image; and
and when the similarity between the verified pig face depth image and the pre-stored pig face depth image is smaller than the preset similarity, determining that the verified pig face depth image is not matched with the pre-stored pig face depth image.
8. The swine only spot check system of claim 6, wherein the processor is further configured to: obtaining pre-stored pig information of all pigs associated with the tracing codes, wherein the pre-stored pig information is associated with the pre-stored pig face depth image; obtaining the information of the checked pigs of the current pigs; when the verified pig face depth image is matched with any one of the prestored pig face depth images, judging whether verified pig information is matched with matched pig information, wherein the matched pig information is the prestored pig information associated with the prestored pig face depth image matched with the verified pig face depth image; the prompter is also used for sending the prompt information when the information of the verified pigs is not matched with the information of the matched pigs.
9. The swine only spot check system of claim 8, wherein the processor is further configured to:
and when the verified pig information is matched with the matched pig information, generating verified qualified information and associating the verified qualified information with the prestored pig face depth image matched with the verified pig face depth image.
10. One or more non-transitory computer-readable storage media containing computer-executable instructions that, when executed by one or more processors, cause the processors to perform the swine spot check method of any one of claims 1-4.
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